Alternatives to Neurolabs

KopiKat, a revolutionary tool for data augmentation, improves the accuracy and efficiency of AI models by modifying the network architecture. KopiKat goes beyond the standard methods of data enhancement by creating a photorealistic copy while preserving all data annotations. You can change the original image's environment, such as the weather, seasons, lighting, etc. The result is an extremely rich model, whose quality and variety are superior to those created using traditional data augmentation methods.

InfiViz is a trusted retail visual intelligence partner for global CPG brands. By combining Image Recognition and AI, our platforms empower retail sales leaders and marketing teams with rich, detailed and accurate in-store execution insights to optimize retail execution, at scale and boost per-store sales by upto 4%. We have scaled 400,000 stores across 16+ countries. Top CPG brands like P&G, Nestle, ABinBev and ITC-India today use InfiViz to get precise SKU detection in both General and Modern trade stores, Empower field-force/salesmen/store owners with real-time insights and action plan to fix execution errors on the spot Get >95% accurate, actionable and real-time execution metrics to improve on-shelf SKU visibility, prevent Out-of-Stocks and monitor store compliances across 400K + stores.

Gain real-time insights into shelf monitoring for your ideal retail environment with ShelfWatch. This innovative tool effectively understands the merchandising conditions of SKUs, delivering actionable insights that foster a continuous improvement cycle, assisting consumer packaged goods (CPG) companies in achieving their perfect store goals. Utilizing advanced Image Recognition technology, it enhances sales force efficiency, provides valuable shelf condition insights, and promotes additional sales growth. ShelfWatch offers a comprehensive overview of store execution by tracking various customizable KPIs to meet your specific needs. The mobile application features image capture capabilities that analyze product placement and visibility on shelves, incorporating advanced functions such as blur detection and ensuring proper alignment with eye-level standards. Moreover, it allows for image capture in areas without internet connectivity, with the ability to upload once a connection is restored. Additionally, ShelfWatch seamlessly connects with a variety of Sales Force Automation (SFA) and Distribution Management System (DMS) applications, making it a versatile tool for retailers. With its robust functionalities, ShelfWatch empowers retailers to enhance their merchandising strategies effectively.

When capturing data in real-life situations is difficult, we create diverse, fully-labeled image datasets. Our procedural technology provides the highest-quality, unbiased, and labeled synthetic datasets to improve your computer vision model. AI Verse gives users full control over scene parameters. This allows you to fine-tune environments for unlimited image creation, giving you a competitive edge in computer vision development.

SKY ENGINE AI is a simulation and deep learning platform that generates fully annotated, synthetic data and trains AI computer vision algorithms at scale. The platform is architected to procedurally generate highly balanced imagery data of photorealistic environments and objects and provides advanced domain adaptation algorithms. SKY ENGINE AI platform is a tool for developers: Data Scientists, ML/Software Engineers creating computer vision projects in any industry. SKY ENGINE AI is a Deep Learning environment for AI training in Virtual Reality with Sensors Physics Simulation & Fusion for any Computer Vision applications.

A platform designed for ML engineers that generates synthetic data, facilitating the creation of more advanced AI models. With straightforward APIs, users can quickly generate a wide variety of perfectly-labeled, photorealistic images as needed. This highly scalable, cloud-based system can produce millions of accurately labeled images, allowing for innovative data-centric strategies that improve model performance. The platform offers an extensive range of pixel-perfect labels, including segmentation maps, dense 2D and 3D landmarks, depth maps, and surface normals, among others. This capability enables rapid design, testing, and refinement of products prior to hardware implementation. Additionally, it allows for prototyping with various imaging techniques, camera positions, and lens types to fine-tune system performance. By minimizing biases linked to imbalanced datasets while ensuring privacy, the platform promotes fair representation across diverse identities, facial features, poses, camera angles, lighting conditions, and more. Collaborating with leading customers across various applications, our platform continues to push the boundaries of AI development. Ultimately, it serves as a pivotal resource for engineers seeking to enhance their models and innovate in the field.

Buy quickly pointing out the redundancies, image recognition technology can save FMCG/ CPG manufacturers a tremendous amount of time . It allows the field reps to spend more time on sales and less time with tedious paperwork and analysis. It helps them create visual consistency between stores. Manufacturers become more agile in tracking performance and brand distribution. This allows them to meet customer demand in a time bound manner. It can also effectively monitor the freshness of products. It gives insights into how brands can improve product placement and make visual display more appealing and effective. In a nutshell, image recognition allows you to gather valuable data to optimize the merchandising layout on the shelves. In the larger context, it all comes down to perfect retail execution. Sterison’s intelligent retail execution solution, retailVision, not only gives you powerful image recognition technology to help you execute your planogram, but it also streamlines sales, merchandising, and marketing organizations. It’s engineered to maximize sales and efficiency by using intelligent, fine-tuned automation in every process of your business.

Trax empowers brands and retailers to successfully navigate the evolving landscape of retail, where the integration of physical and digital experiences enhances shopper satisfaction at the shelf. By offering a comprehensive and precise method for consumer packaged goods (CPG) manufacturers and retailers to observe, measure, and assess shelf activity, Trax stands out as a leader in the field. The platform’s real-time monitoring and analytical capabilities provide insights into aisle dynamics, allowing for improved operational efficiency. When shelves are not well managed, it can lead to dissatisfied customers and lost revenue; however, retailers often lack the workforce to identify every issue immediately. With Trax, shelves are automatically scanned, conditions are analyzed, and necessary adjustments are prioritized to fully realize the potential of each aisle. This ensures that every product is optimally positioned in every store consistently. Furthermore, Trax Retail Execution leverages cutting-edge image-recognition technology and advanced deep-learning algorithms to digitize shelf data, ultimately driving sales growth and enhancing the shopping experience. By harnessing these innovative tools, retailers can create a seamless integration of their physical presence and digital strategy, leading to better overall performance.

DataGen delivers cutting-edge AI synthetic data and generative AI solutions designed to accelerate machine learning initiatives with privacy-compliant training data. Their core platform, SynthEngyne, enables the creation of custom datasets in multiple formats—text, images, tabular, and time-series—with fast, scalable real-time processing. The platform emphasizes data quality through rigorous validation and deduplication, ensuring reliable training inputs. Beyond synthetic data, DataGen offers end-to-end AI development services including full-stack model deployment, custom fine-tuning aligned with business goals, and advanced intelligent automation systems to streamline complex workflows. Flexible subscription plans range from a free tier for small projects to pro and enterprise tiers that include API access, priority support, and unlimited data spaces. DataGen’s synthetic data benefits sectors such as healthcare, automotive, finance, and retail by enabling safer, compliant, and efficient AI model training. Their platform supports domain-specific custom dataset creation while maintaining strict confidentiality. DataGen combines innovation, reliability, and scalability to help businesses maximize the impact of AI.

Effortlessly create a wide variety of realistic synthetic data and detailed 3D environments to boost model efficacy. Bifrost's platform stands out as the quickest solution for producing the high-quality synthetic images necessary to enhance machine learning performance and address the limitations posed by real-world datasets. By bypassing the expensive and labor-intensive processes of data collection and annotation, you can prototype and test up to 30 times more efficiently. This approach facilitates the generation of data that represents rare scenarios often neglected in actual datasets, leading to more equitable and balanced collections. The traditional methods of manual annotation and labeling are fraught with potential errors and consume significant resources. With Bifrost, you can swiftly and effortlessly produce data that is accurately labeled and of pixel-perfect quality. Furthermore, real-world data often reflects the biases present in the conditions under which it was gathered, and synthetic data generation provides a valuable solution to mitigate these biases and create more representative datasets. By utilizing this advanced platform, researchers can focus on innovation rather than the cumbersome aspects of data preparation.

Introducing a versatile and precise synthetic data generation solution. In just minutes, you can create the specific data required for your perception system. Tailor scenarios to fit your needs with limitless variations available. Datasets can be generated effortlessly in the cloud. Anyverse delivers a robust synthetic data software platform that supports the design, training, validation, or refinement of your perception system. With unmatched cloud computing capabilities, it allows you to generate all necessary data significantly faster and at a lower cost than traditional real-world data processes. The Anyverse platform is modular, facilitating streamlined scene definition and dataset creation. The intuitive Anyverse™ Studio is a standalone graphical interface that oversees all functionalities of Anyverse, encompassing scenario creation, variability configuration, asset dynamics, dataset management, and data inspection. All data is securely stored in the cloud, while the Anyverse cloud engine handles the comprehensive tasks of scene generation, simulation, and rendering. This integrated approach not only enhances productivity but also ensures a seamless experience from conception to execution.

Hybrid is an international full stack programmatic advertising ecosystem. It is headquartered in Warsaw and has offices all over the globe, including India, Germany, and Indonesia. We are a passionate team that strives to be the leader in digital marketing. Every day, we strive to exceed the expectations of our clients and earn their trust. Our company empowers agencies and brands to deliver high-quality advertising. Our goal is to help you turn your desire to attract customers' attention into a successful advertising campaign. We have a programmatic ecosystem that we have developed internally, work with top suppliers, and implement ML/AI algorithms to achieve the highest KPI. This allows us to be a worthy competitor. Our clients have full and self-service. Hybrid works with clients in Europe, North America and Asia. Our clients include GroupM, BBDO and Dentsu Aegis Network. OMD, Starcom, OMD, Starcom, and other well-known brands like Coca-Cola and Nestle.

We apply the highest quality standards to label your data, ensuring that even the most intricate AI projects are well-supported through our exclusive labeling platform. This allows you to focus on developing the products that resonate with your customers. Our comprehensive solution for image annotation features rapid labeling tools, synthetic data generation, efficient data management, automation capabilities, and on-demand annotation services, all designed to expedite the completion of computer vision initiatives. When precision in every pixel is crucial, you require reliable, AI-driven image annotation tools that cater to your unique use cases, including various instances, attributes, and much more. Our skilled team of data labelers is adept at handling any data-related challenge that may arise. As your requirements for data labeling expand, you can trust us to scale the necessary workforce to achieve your objectives, ensuring that unlike crowdsourcing platforms, the quality of your data remains uncompromised. With our commitment to excellence, you can confidently advance your AI projects and deliver exceptional results.

Utilizing only real data presents notable obstacles in the training of machine learning models. In contrast, synthetic data offers boundless opportunities for training, effectively mitigating the limitations associated with real datasets. Enhance the efficacy of your geospatial analytics by generating the specific imagery you require. With customizable options for satellite, drone, and aerial images, you can swiftly and iteratively create various scenarios, modify object ratios, and fine-tune imaging parameters. This flexibility allows for the generation of any infrequent objects or events. The resulting datasets are meticulously annotated, devoid of errors, and primed for effective training. The OneView simulation engine constructs 3D environments that serve as the foundation for synthetic aerial and satellite imagery, incorporating numerous randomization elements, filters, and variable parameters. These synthetic visuals can effectively substitute real data in the training of machine learning models for remote sensing applications, leading to enhanced interpretation outcomes, particularly in situations where data coverage is sparse or quality is subpar. With the ability to customize and iterate quickly, users can tailor their datasets to meet specific project needs, further optimizing the training process.

Our innovative automation platform, powered by AI and designed for low-code usage, aims to deliver exceptional results in the least amount of time. With our Natural Language Processing (NLP) technology, you can effortlessly generate automation scripts in plain English, freeing your developers to concentrate on innovative projects. Throughout your application's lifecycle, you can maintain high quality thanks to our autonomous discovery feature and comprehensive tracking of any changes. Our autonomous healing capabilities help mitigate risks in your ever-evolving development landscape, ensuring that updates are seamless and current. To comply with all regulatory standards and enhance security, utilize AI-generated synthetic data tailored to your automation requirements. Additionally, you can conduct multiple tests simultaneously, adjust test frequencies, and keep up with browser updates across diverse operating systems and platforms, ensuring a smooth user experience. This comprehensive approach not only streamlines your processes but also enhances overall productivity and efficiency.

Haptik is the largest Conversational AI company in the world, having reached more than 100 million devices and processed more than 2 billion conversations. The company's intelligent virtual assistant solutions allow Fortune 500 brands to improve customer experience, reduce costs, and increase sales. Haptik has received numerous industry awards, including the Frost & Sullivan Award as Conversational AI Company Of The Year 2018 and recognition by AI Time Journal as one of the Top 25 AI Companies In the World 2018. Oyo Rooms and Samsung are among Haptik's top clients and partners. Haptik is part of the Reliance Group of Companies, which acquired a majority share in the company in an April 2019 deal worth $100 million.

Diginex is an innovative impact technology company that assists organizations in tackling critical ESG and sustainability challenges by leveraging advanced blockchain technology to foster change and enhance transparency. We empower organizations striving for improvement and accountability to unlock the commercial advantages of ESG integration, enabling them to make informed decisions that reduce risk, strengthen resilience, and seize growth opportunities. By employing Diginex’s technology, businesses can secure their models for the future and accelerate their growth while contributing positively to society. Our mission includes creating accessible, cost-effective, and smart products aimed at democratizing sustainability for all. Established in 2017, Diginex boasts a diverse global team of over 80 experts in technology and impact, rapidly expanding its reach as a trusted technology partner to prominent entities worldwide, such as Microsoft, Coca-Cola, and the United Nations, while continually seeking new collaborations to enhance our impact. Through our efforts, we aspire to redefine the relationship between business success and social responsibility in the modern world.

Develop a mobile app that utilizes image recognition technology, opening up a world of endless interactive features and functionalities. You can explore various ways users can engage with images, allowing for an innovative and user-friendly experience.

OrderSmart enhances the growth potential for bottlers and distributors by offering data-driven tools and resources that help them succeed in the competitive marketplace. This comprehensive solution empowers Coca-Cola Bottler sales teams to dedicate more time to selling and effectively serving their 150,000 convenience store customers. Now available globally, AI-driven OrderSmart facilitates suggested order generation for an impressive 1.5 million SKU-store combinations. It is a cloud-agnostic platform that integrates seamlessly into your existing technological environment and preferences. Its highly scalable and customizable nature allows for tailored ordering solutions across various Store, SKU, and Category combinations, accommodating operations ranging from 150,000 stores in North America to individual store needs. Additionally, it offers flexible monthly subscriptions based on a value-driven pricing model, ensuring accessibility for all users. This innovative approach not only streamlines the ordering process but also maximizes efficiency and sales potential across diverse retail landscapes.

INDE is the world's leading provider of Augmented Reality products and solutions based on screen and is also one of the most prominent developers of MobileAR or WebAR experiences. We have launched augmented realities systems in more than 50 countries for our clients and partners here in the U.S.A., as well as across the globe. These include VISA, Coca-Cola and Adidas, WWF and Universal Studios, 20th Century Fox and American Express, Warner Bros. and Guinness World Records. Our next-generation digital platforms use the most recent in Augmented Reality and Motion Capture technology. These technologies are used to create tailor-made products including mobile, web-based, kiosk size (HeroMirror) and big-screen AR experiences with BroadcastAR.

Gain immediate insights into shopper behavior and assess customer satisfaction effectively. Understand the characteristics of your converted customers. Our Face Analysis Technology equips physical retail businesses with real-time, anonymous insights into shopper interactions, allowing for enhanced optimization of customer experiences and daily operations. Explore our curated product suggestions. Develop more intelligent in-store environments that enhance engagement and elevate customer satisfaction. It is essential to foster customer engagement, as an engaged shopper is likely to return. Our software offers you real-time data regarding shoppers' demographics, interests, and behaviors. Identify your converted customers and refine every aspect, from product placements to store layouts, informed by shopper behavior. Are you effectively reaching your intended audience? Our software provides the solutions to uncover these crucial insights. Furthermore, understanding these dynamics can significantly improve overall business performance.

By automating the monitoring of stock levels, floor staff are freed to prioritize customer engagement, ultimately leading to larger average basket sizes. Reducing the occurrence of empty shelves significantly boosts the likelihood of customer purchases. Shelfie cameras, designed to fit any conventional retail shelf, capture images of these displays which are subsequently uploaded to a cloud service. An advanced machine learning and image processing algorithm in the cloud meticulously analyzes these images for inventory discrepancies. When an issue is identified, the relevant data is transmitted to both a dashboard and a mobile application. This seamless system ensures that floor staff receive real-time updates on which items need to be restocked, enhancing operational efficiency. Furthermore, by streamlining these processes, retailers can ensure a more satisfying shopping experience for their customers.

OpenCV, which stands for Open Source Computer Vision Library, is a freely available software library designed for computer vision and machine learning. Its primary goal is to offer a unified framework for developing computer vision applications and to enhance the integration of machine perception in commercial products. As a BSD-licensed library, OpenCV allows companies to easily adapt and modify its code to suit their needs. It boasts over 2500 optimized algorithms encompassing a wide array of both traditional and cutting-edge techniques in computer vision and machine learning. These powerful algorithms enable functionalities such as facial detection and recognition, object identification, human action classification in videos, camera movement tracking, and monitoring of moving objects. Additionally, OpenCV supports the extraction of 3D models, creation of 3D point clouds from stereo camera input, image stitching for high-resolution scene capture, similarity searches within image databases, red-eye removal from flash photographs, and even eye movement tracking and landscape recognition, showcasing its versatility in various applications. The extensive capabilities of OpenCV make it a valuable resource for developers and researchers alike.

Address the obstacles faced in gathering data for the training of machine learning and AI systems by utilizing Rendered.ai, a platform-as-a-service tailored for data scientists, engineers, and developers. This innovative tool facilitates the creation of synthetic datasets specifically designed for ML and AI training and validation purposes. Users can experiment with various sensor models, scene content, and post-processing effects to enhance their projects. Additionally, it allows for the characterization and cataloging of both real and synthetic datasets. Data can be easily downloaded or transferred to personal cloud repositories for further processing and training. By harnessing the power of synthetic data, users can drive innovation and boost productivity. Rendered.ai also enables the construction of custom pipelines that accommodate a variety of sensors and computer vision inputs. With free, customizable Python sample code available, users can quickly start modeling SAR, RGB satellite imagery, and other sensor types. The platform encourages experimentation and iteration through flexible licensing, permitting nearly unlimited content generation. Furthermore, users can rapidly create labeled content within a high-performance computing environment that is hosted. To streamline collaboration, Rendered.ai offers a no-code configuration experience, fostering teamwork between data scientists and data engineers. This comprehensive approach ensures that teams have the tools they need to effectively manage and utilize data in their projects.

Experience unparalleled speed, precision, and adaptability with the only automatic license plate recognition system that expands to meet your requirements, entirely developed by Rank One Computing. Our advanced ALPR software can effortlessly identify and read license plates from images or video footage taken on any device, effectively handling difficult situations such as poor lighting, rapid motion, or skewed angles. Benefit from extensive search capabilities through a system that can provide approximate matches for license plates, even when the input is flawed or only partially captured. Following an incident, easily sift through surveillance recordings to locate a known vehicle using its license plate. From law enforcement to commercial security and federal investigations, our license plate recognition technology is relied upon by industry leaders both nationally and globally, ensuring safety and efficiency in vehicle monitoring. This innovative tool not only enhances security measures but also streamlines investigative processes for various applications.

Our platform, powered by AI, is designed to assist data analysts and machine learning engineers in fully harnessing the potential of their analytical data sets. Utilizing the patterns uncovered from current data, Datomize allows users to produce precisely the analytical data sets they require. With data that accurately reflects real-world situations, users are empowered to obtain a much clearer understanding of reality, leading to more informed decision-making. Unlock enhanced insights from your data and build cutting-edge AI solutions with ease. The generative models at Datomize create high-quality synthetic copies by analyzing the behaviors found in your existing data. Furthermore, our advanced augmentation features allow for boundless expansion of your data, and our dynamic validation tools help visualize the similarities between original and synthetic data sets. By focusing on a data-centric framework, Datomize effectively tackles the key data limitations that often hinder the development of high-performing machine learning models, ultimately driving better outcomes for users. This comprehensive approach ensures that organizations can thrive in an increasingly data-driven world.

Cutting-edge technology and services are designed to securely transform and elevate sensitive information into actionable insights, thereby fostering innovation and creating new avenues for revenue generation. Through the use of the Mimic synthetic data engine, businesses can effectively synthesize their data assets, ensuring that consumer privacy is safeguarded while preserving the statistical relevance of the information. This synthetic data can be leveraged for a variety of internal initiatives, such as analytics, machine learning, artificial intelligence, marketing efforts, and segmentation strategies, as well as for generating new revenue streams via external data monetization. Mimic facilitates the secure transfer of statistically relevant synthetic data to any cloud platform of your preference, maximizing the utility of your data. In the cloud, enhanced synthetic data—validated for compliance with regulatory and privacy standards—can support analytics, insights, product development, testing, and collaboration with third-party data providers. This dual focus on innovation and compliance ensures that organizations can harness the power of their data without compromising on privacy.

We integrate data on movement, emotions, and attention to study human behavior both collectively and individually. Our innovative technology enables the interpretation of intricate emotional states and behaviors instantaneously, utilizing straightforward camera equipment. We provide both ready-made and tailored solutions across various sectors, which have been developed in collaboration with reputable partners and clients. Our advanced algorithms are capable of analyzing all forms of video data, whether it is pre-recorded footage or live feeds from high-definition industrial cameras or basic webcams. This flexibility ensures that we meet diverse needs across different applications.

Enhance your customer experience by adopting a comprehensive perspective on your entire business operations. Monitor the journey of a product from the distribution center all the way to the store shelf, and ultimately into the shopper's bags. Take advantage of adaptive and coordinated retail intelligence that is available precisely when and where it is needed. Focus on addressing the critical moments that have the greatest significance for customers, employees, and suppliers alike. Everseen's Visual AI™ Platform serves as a quick Application Builder that consolidates existing systems, applications, and sensors, utilizing AI to uncover issues that were previously invisible or difficult to measure. This innovative platform functions throughout the entire supply chain, helping to minimize shrinkage and boost the accuracy of perpetual inventory. With the ability to seamlessly integrate with any camera, device, system, or sensor across any cloud or edge environment, it allows for the construction of extensive data, video, and sensor pipelines. Visual AI™ and Data drive human-centric AI systems designed by experts, enabling enterprise-wide problem identification and interconnection. Additionally, this approach fosters a more cohesive understanding of operational dynamics, paving the way for improved decision-making and strategic planning.

Evaluate the availability and arrangement of products on shelves, conduct competitive analyses, and examine market trends using advanced image recognition technology that seamlessly integrates with your current sales force automation or CRM systems. Gain access to more precise and extensive data that manual collection methods cannot provide. Our self-learning algorithms are designed to help businesses save time, reduce human error, and achieve accuracy rates exceeding 96%. Streamline and enhance your store auditing and compliance efforts. Reduce the time needed to monitor essential compliance measures by as much as 50%. Effectively gauge how planograms and shelf configurations influence sales performance. Guide your sales teams towards the most impactful actions by analyzing your product visibility in comparison to competitors across various regions, channels, and stores. Maximize the effectiveness of Perfect Store strategies through proper requirement enforcement and compliance monitoring. This comprehensive approach not only boosts efficiency but also helps in driving better sales outcomes.

The Synthetic Data Vault (SDV) is a comprehensive Python library crafted for generating synthetic tabular data with ease. It employs various machine learning techniques to capture and replicate the underlying patterns present in actual datasets, resulting in synthetic data that mirrors real-world scenarios. The SDV provides an array of models, including traditional statistical approaches like GaussianCopula and advanced deep learning techniques such as CTGAN. You can produce data for individual tables, interconnected tables, or even sequential datasets. Furthermore, it allows users to assess the synthetic data against real data using various metrics, facilitating a thorough comparison. The library includes diagnostic tools that generate quality reports to enhance understanding and identify potential issues. Users also have the flexibility to fine-tune data processing for better synthetic data quality, select from various anonymization techniques, and establish business rules through logical constraints. Synthetic data can be utilized as a substitute for real data to increase security, or as a complementary resource to augment existing datasets. Overall, the SDV serves as a holistic ecosystem for synthetic data models, evaluations, and metrics, making it an invaluable resource for data-driven projects. Additionally, its versatility ensures it meets a wide range of user needs in data generation and analysis.

zenon, an industry-leading platform for software, makes it easy to automate the design and operation of manufacturing and infrastructure equipment. Zenon can help you achieve and sustain your operational goals, no matter if you work in the manufacturing industry or in energy. zenon works completely vendor-independent in any environment, both hard- and soft-software. We have 5,000+ clients around the world, including many Fortune 500s like Toyota, Pfizer or Ford Motor. zenon connects all data into one system, tracks and controls every process in real time with powerful SCADA/HMI solutions. This gives you better insight to make smarter decisions and provides a strong base for industrial applications in a non-code engineering environment.

Graymatics delivers a sophisticated multimedia analytics platform that converts images and videos into insightful, detailed data. Our focus is on providing video analytics solutions for CCTV systems, allowing clients to extract essential insights from their existing setups, all presented in comprehensive dashboards. Established in Silicon Valley in 2011, Graymatics has emerged as a pioneering company in cognitive media processing and is now based in Singapore. We offer a transformative cloud platform that automates the analysis and identification of products across various sectors, including surveillance, telecommunications, media, advertising, retail, and eCommerce. As one of the few firms in our domain to provide such extensive analysis, we present a distinctive range of products to clients accustomed to more conventional technologies. Our expertise spans multiple industries, including educational institutions, corporate environments, and law enforcement agencies. Furthermore, our highly optimized models are designed to function efficiently with minimal hardware demands, requiring low levels of RAM and GPU. This combination of innovative technology and user-centric design positions Graymatics as a leader in the video analytics industry.

Amazon SageMaker enables the identification of various types of unprocessed data, including images, text documents, and videos, while also allowing for the addition of meaningful labels and the generation of synthetic data to develop high-quality training datasets for machine learning applications. The platform provides two distinct options, namely Amazon SageMaker Ground Truth Plus and Amazon SageMaker Ground Truth, which grant users the capability to either leverage a professional workforce to oversee and execute data labeling workflows or independently manage their own labeling processes. For those seeking greater autonomy in crafting and handling their personal data labeling workflows, SageMaker Ground Truth serves as an effective solution. This service simplifies the data labeling process and offers flexibility by enabling the use of human annotators through Amazon Mechanical Turk, external vendors, or even your own in-house team, thereby accommodating various project needs and preferences. Ultimately, SageMaker's comprehensive approach to data annotation helps streamline the development of machine learning models, making it an invaluable tool for data scientists and organizations alike.

syntheticAIdata serves as your ally in producing synthetic datasets that allow for easy and extensive creation of varied data collections. By leveraging our solution, you not only achieve substantial savings but also maintain privacy and adhere to regulations, all while accelerating the progression of your AI products toward market readiness. Allow syntheticAIdata to act as the driving force in turning your AI dreams into tangible successes. With the capability to generate vast amounts of synthetic data, we can address numerous scenarios where actual data is lacking. Additionally, our system can automatically produce a wide range of annotations, significantly reducing the time needed for data gathering and labeling. By opting for large-scale synthetic data generation, you can further cut down on expenses related to data collection and tagging. Our intuitive, no-code platform empowers users without technical knowledge to effortlessly create synthetic data. Furthermore, the seamless one-click integration with top cloud services makes our solution the most user-friendly option available, ensuring that anyone can easily access and utilize our groundbreaking technology for their projects. This ease of use opens up new possibilities for innovation in diverse fields.

PaliGemma 2 represents the next step forward in tunable vision-language models, enhancing the already capable Gemma 2 models by integrating visual capabilities and simplifying the process of achieving outstanding performance through fine-tuning. This advanced model enables users to see, interpret, and engage with visual data, thereby unlocking an array of innovative applications. It comes in various sizes (3B, 10B, 28B parameters) and resolutions (224px, 448px, 896px), allowing for adaptable performance across different use cases. PaliGemma 2 excels at producing rich and contextually appropriate captions for images, surpassing basic object recognition by articulating actions, emotions, and the broader narrative associated with the imagery. Our research showcases its superior capabilities in recognizing chemical formulas, interpreting music scores, performing spatial reasoning, and generating reports for chest X-rays, as elaborated in the accompanying technical documentation. Transitioning to PaliGemma 2 is straightforward for current users, ensuring a seamless upgrade experience while expanding their operational potential. The model's versatility and depth make it an invaluable tool for both researchers and practitioners in various fields.

Yandex Vision OCR is capable of identifying and extracting text from images while also adding automatic punctuation to the output. This advanced service can automatically recognize and support over 50 languages. It efficiently extracts standard fields and processes text from various templates and documents, including passports, driver’s licenses, vehicle registration certificates, and license plates. The system is proficient in handling both Russian and English languages, accommodating combinations of handwritten and printed texts seamlessly. It also intelligently analyzes table structures, delivering text in organized row and column formats. In addition to optical character recognition (OCR) and document identification, it includes functionalities for recognizing license plate numbers. Yandex Vision OCR supports file formats such as JPEG, PNG, and PDF, with a maximum file size limit of 20 MB and up to 300 pages per document. Notably, the service can effectively scan images to locate passports from 20 different countries, along with various types of driver’s licenses, vehicle registration papers, and license plates, making it a versatile tool for document processing. Overall, it enhances efficiency in text recognition tasks across a wide range of applications.

SightBit provides an AI-powered solution for enhancing safety and security around open water by "reading" the water using off-the-shelf video cameras. The company’s proprietary deep-learning AI models and computer vision technology enable capabilities including object detection and classification, drowning detection, hazard detection and prediction, object penetration detection and pollution detection. SightBit’s technology detects, monitors, and provides alerts regarding events such as rip currents, inshore holes and vortexes while simultaneously providing management capabilities. The company’s solution can easily be deployed without the need for sensors, edge processors, or customization. SightBit’s system sends real-time information to monitors in various control rooms, sounding alarms when people are in danger, notifies personnel when a security breach is taking place, and alerts to pollution spills in the water as well as provides immediate prediction to the pollution spread.

Sybrin AI offers an all-encompassing technology platform that leverages computer vision, machine learning, and data science to automate business processes intelligently. It provides a robust framework for extracting and interpreting data from unconventional sources, including documents, images, and videos. The system facilitates smooth, real-time capture and extraction of identification documents worldwide. With its intelligent document capture capabilities, Sybrin allows for the integration of image acquisition, enhancement, recognition, and data extraction within your application. It also ensures that individuals engaging in remote interactions are indeed present, employing either active or passive liveness detection through advanced image processing and neural network techniques to thwart spoofing attempts. The Sybrin Identity Verification feature confirms the identity of individuals executing transactions by cross-referencing their identity document details with a live selfie and information from third-party databases, thereby enhancing security and trust in digital interactions. Ultimately, this innovative technology aims to provide seamless and reliable verification processes that adapt to the evolving needs of businesses.

Netshore Software offers a standard edition of its planogramming software tailored for manufacturers, brands, and retailers aiming to efficiently design visually appealing 2D and 3D planograms. This software includes essential analytical tools to enhance shelf value and maximize assortments. Users can swiftly generate attractive planograms for their retail spaces in mere minutes, with the option to incorporate their own fixtures, products, and images. The software boasts an intuitive drag-and-drop interface, making it highly user-friendly. Additionally, it provides both 2D and 3D planogramming capabilities, along with adjustable fixtures. Shelf value measurement and sales forecasting are conducted seamlessly in real-time, displaying competitive products directly on the shelf. A comprehensive database management system supports the entire application, while users can back up their planograms whenever necessary. Moreover, the software features graphical product representations with color coding for quick and efficient analysis, ensuring users have all the tools they need to optimize their retail layouts effectively. The versatility and ease of use make it an ideal choice for anyone involved in retail planning.

Streamline the lengthy processes of data handling, such as structuring, labeling, and preprocessing tasks. Centralize your data management within a single, easily integrable platform for enhanced efficiency. Rapidly enhance data accessibility through the use of synthetic data that prioritizes privacy and user-friendly exchange platforms. With the Aindo synthetic data platform, securely share data not only within your organization but also with external service providers, partners, and the AI community. Uncover new opportunities for collaboration and synergy through the exchange of synthetic data. Obtain any missing data in a manner that is both secure and transparent. Instill a sense of trust and reliability in your clients and stakeholders. The Aindo synthetic data platform effectively eliminates inaccuracies and biases, leading to fair and comprehensive insights. Strengthen your databases to withstand exceptional circumstances by augmenting the information they contain. Rectify datasets that fail to represent true populations, ensuring a more equitable and precise overall representation. Methodically address data gaps to achieve sound and accurate results. Ultimately, these advancements not only enhance data quality but also foster innovation and growth across various sectors.

Statice is a data anonymization tool that draws on the most recent data privacy research. It processes sensitive data to create anonymous synthetic datasets that retain all the statistical properties of the original data. Statice's solution was designed for enterprise environments that are flexible and secure. It incorporates features that guarantee privacy and utility of data while maintaining usability.

The MDClone ADAMS Platform serves as a robust, self-service environment for data analytics that facilitates collaboration, research, and innovation within the healthcare sector. With this groundbreaking platform, users gain real-time, dynamic, secure, and independent access to valuable insights, effectively dismantling obstacles to healthcare data exploration. This empowers organizations to embark on a journey of continuous learning that enhances patient care, optimizes operations, encourages research initiatives, and fosters innovation, thereby driving actionable outcomes throughout the entire healthcare ecosystem. Additionally, the use of synthetic data allows for seamless collaboration among teams, organizations, and external partners, enabling them to delve into the essential information they require precisely when it is needed. By tapping into real-world data sourced directly from within health systems, life science organizations can pinpoint promising patient cohorts for detailed post-marketing analysis. Ultimately, this innovative approach transforms the way healthcare data is accessed and utilized for life sciences, paving the way for unprecedented advancements in the field. As a result, stakeholders can make informed decisions that significantly impact patient outcomes and overall healthcare quality.

Embracing data-centric AI has become remarkably straightforward thanks to advancements in automated data quality profiling and synthetic data creation. Our solutions enable data scientists to harness the complete power of their data. YData Fabric allows users to effortlessly navigate and oversee their data resources, providing synthetic data for rapid access and pipelines that support iterative and scalable processes. With enhanced data quality, organizations can deliver more dependable models on a larger scale. Streamline your exploratory data analysis by automating data profiling for quick insights. Connecting to your datasets is a breeze via a user-friendly and customizable interface. Generate synthetic data that accurately reflects the statistical characteristics and behaviors of actual datasets. Safeguard your sensitive information, enhance your datasets, and boost model efficiency by substituting real data with synthetic alternatives or enriching existing datasets. Moreover, refine and optimize workflows through effective pipelines by consuming, cleaning, transforming, and enhancing data quality to elevate the performance of machine learning models. This comprehensive approach not only improves operational efficiency but also fosters innovative solutions in data management.

Vincle Retail Execution software serves as an essential tool for optimizing point-of-sales (POS) operations, creating a significant competitive advantage in the realm of omnichannel shopping. This software aids in maintaining competitiveness and effective product placement both on and off the shelves. Through a specialized methodology, it offers a comprehensive 360-degree perspective for you and your team, facilitating the planning, preparation, and execution of in-store visits. Enhance your visit strategy with a structured approach that keeps your team aligned and focused through clearly defined phases. By centralizing all multimedia content—such as catalogs, product demonstration videos, competitor analyses, and data sheets—Vincle ensures that all team members have access to the same up-to-date information in real-time. Monitor and manage your brand's positioning at the point of sale while tracking promotions, product assortments, and shelf facings to optimize visibility. Additionally, the software enables effective communication by managing notifications and messages to support two-way interaction among team members, ultimately fostering collaboration and improving overall efficiency. This cohesive approach not only streamlines operations but also empowers your team to make informed decisions that drive sales and enhance customer engagement.